Titlebook: Data Integration in the Life Sciences; 7th International Co Patrick Lambrix,Graham Kemp Conference proceedings 2010 Springer-Verlag Berlin

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https://doi.org/10.1007/978-1-4471-5107-4exploit their advantages in a new hybrid approach. The data are extracted from the original data sources using SB-KOM (System Biology Khaos Ontology-based Mediator) and then stored locally in the data warehouse to ensure a fast performance and data consistency.

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0302-9743 throughput experimental methods in the life sciences is giving rise to numerous large, c- plex and valuable data resources. This foundation of experimental data und- pins the systematic study of organismsand diseases, which increasinglydepends on the development of models of biological systems. The

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https://doi.org/10.1007/978-1-84996-241-4Biology research at the University of Oxford. As well as giving an overview of the framework and its application, we attempt to set our work within the wider context of the emerging challenges associated with data sharing within the Life Sciences.

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An Educational Virtualization Infrastructure comparisons and from gene expression results can be integrated in a way that takes account of the ranked results from the different types of data. In so doing, the paper illustrates the use of ranking as a first class citizen for data integration in the life sciences, and identifies open issues for further investigation.

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On the Secure Sharing and Aggregation of Data to Support Systems Biology ResearchBiology research at the University of Oxford. As well as giving an overview of the framework and its application, we attempt to set our work within the wider context of the emerging challenges associated with data sharing within the Life Sciences.

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Search Computing: Integrating Ranked Data in the Life Sciences comparisons and from gene expression results can be integrated in a way that takes account of the ranked results from the different types of data. In so doing, the paper illustrates the use of ranking as a first class citizen for data integration in the life sciences, and identifies open issues for further investigation.

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